Design, Deploy, and Lead with Agentic AI
CAAP – Certified Agentic AI Practitioner is an 12-week, intensive, project-based program that equips you with the real-world skills to design, build, and deploy intelligent AI agents. From mastering tools like LangChain, n8n, CrewAI, and Phidata, to developing advanced agent workflows with memory, planning, and tool integration – this is the ultimate hands-on journey into the world of Agentic AI. Whether you’re an AI engineer, product builder, or tech-forward professional, CAAP prepares you to lead the next wave of AI innovation with autonomous systems that think, act, and adapt.
Course Fees: ₹70000 (incl. of GST)
Program At A Glance
Hybrid - Self Paced + Live Lessons
& Mentor-Supported
Duration:
12 Weeks
Live Sessions +
Self-Paced Content +
Real-Time Agent Building
Weekly 1-on-1 or
Group Guidance
10+ Real-World
Deployable Projects
GPT-powered assistant for
continuous learning support
CAAP Credential with
Portfolio Verification
The Age of Agentic AI
AI began by learning to predict. Then it evolved to generate. Now, it’s beginning to act – autonomously.
We’ve crossed into a new era: Agentic AI – where intelligent systems don’t just respond, but reason, plan, and execute. These agents can use tools, remember information, break down complex goals, and adapt their actions in real time – much like a human teammate would.
What Is Agentic AI?
Agentic AI systems go beyond chat interfaces or passive generators. They are:
- Goal-driven: Given a task, they chart out steps and execute them independently.
- Tool-enabled: They use APIs, databases, search engines, and more to accomplish goals.
- Memory-capable: They retain context, learn from feedback, and make adjustments mid-task.
- Autonomous: They initiate, adapt, and iterate – often without needing constant prompts.
Agentic systems blur the line between software and digital workers – capable of handling onboarding, writing research summaries, evaluating investments, and more.
We’re Entering the Most Transformative Phase of AI Yet
Need to know more?
Why This Moment Is Pivotal
Across the AI ecosystem, a quiet revolution is underway:
- OpenAI’s AutoGPT, LangChain’s agent frameworks, and Google’s Task-Oriented Agents are setting the stage.
- Platforms like CrewAI and Phidata are enabling agents to collaborate, communicate, and take ownership of workflows.
- The demand for Agentic AI developers is rising fast, but the skills required go far beyond prompt engineering. They demand a systems mindset, a tool-first architecture, and hands-on experience with reasoning loops, memory design, and workflow execution.
This shift marks a turning point:
We no longer just train AI – we deploy intelligent agents that think, act, and adapt.
Where You Come In
If you’re a builder, developer, or future architect of intelligent systems — now is your time.
The Certified Agentic AI Practitioner (CAAP) program is built to give you deep, hands-on mastery of this new paradigm – through rigorous projects, real-world tools, and the engineering mindset that today’s AI systems demand.
The Certified Agentic AI Practitioner (CAAP) program was built for learners like you – ambitious, technical, and ready to lead the next wave of AI development.
Let’s build what others are still talking about.
What Makes CAAP Different?
We don’t teach theory. We teach systems thinking and autonomous execution. Every week, you build, debug, and deploy.
CAAP is powered by our C.O.R.E. Learning Model:
Learning Roadmap
The Certified Agentic AI Practitioner (CAAP) program is crafted as an intensive 12-week technical journey that transitions learners from foundational coding and generative AI knowledge to full-scale deployment of intelligent, tool-using, memory-enabled autonomous agents.
Through live sessions, hands-on projects, and technical mentorship, learners will not just build agents – they’ll engineer systems that reflect the future of AI deployment.
Python Programming Bootcamp
- Programming basics
- Data structures
- Functions and scripting
Generative AI Bootcamp
- Introduction to LLMs
- Prompt engineering
- Generative AI tools & use cases
- What is Agentic AI
- Traditional AI vs Agentic AI
- Evolution of AI: Predictive → Generative → Agentic
- Core components: Reasoning Engine, Tool Use, Memory, Execution Loops
- Real-world industry use cases
- External tool integration
- Tool types and decision roles
- Short-term vs Long-term memory: Buffers, Vector Stores
- Goal decomposition and strategic planning
- ReAct Framework & decision feedback loops
- LangChain essentials: chains, tools, memory, agents
- Integrations: Google Search, Calculator, File I/O
- Multi-step reasoning & agent planning
Hands-On Projects:
1. Scientific Research Synthesizer
2. Dynamic Business Strategy Consultant
3. AI Compliance Auditor
- Multi-agent architecture and design
- Roles, personas & communication flows
- Task delegation & collaboration strategies
Hands-On Projects:
1. Product Launch Task Force
2. Start-up Evaluation Committee
3. Crisis Response Simulation Team
- Low-code visual workflows
- Trigger-based AI agent flows
- CRM, calendar, and email integrations
Hands-On Projects:
1. Smart HR Onboarding Agent
2. Sales Intelligence Agent
3. AI Newsletter Curator
- Configurable multimodal agents
- Memory management & tool orchestration
- Retrieval-Augmented Generation (RAG) with multimodal inputs
Hands-On Projects:
1. AI Visual Analyst
2. Strategic Meeting Companion
3. Investor Pitch Reviewer
- Bias & fairness in AI systems
- Human-in-the-loop systems
- Safety protocols and ethical boundaries
- Transparency, logging, and explainability
Each module ends with a deployable real-world project that goes beyond classroom theory – giving learners a GitHub-ready portfolio that speaks directly to hiring teams, clients, and co-founders.
Flagship Projects
LangChain Projects
Objective: Learn to build memory-aware, tool-using, reasoning agents.
CrewAI Projects
Objective: Build agent teams that communicate, delegate, and collaborate.
n8n Workflow Projects
Objective: Automate real-world business flows using visual low-code agents.
Phidata (Agno) Projects
Objective: Handle multimodal inputs — PDFs, charts, transcripts — with intelligent response logic.
Ethical Application – Each project is evaluated for:
- Ethical integrity
- Safety constraints
- Data handling
- Transparency of logic
Outcomes That Set You Apart
Architect, build, and deploy intelligent AI agents
using state-of-the-art tools
Master LangChain, CrewAI, n8n, and Phidata through
live walkthroughs and applied tasks
Build a showcase-ready portfolio of agentic systems
Gain a mentor-verified CAAP credential that
reflects real, technical capability
Certification, Support & Delivery Format
Upon successful completion of the 12-week journey – including all module projects and ethical evaluations – you’ll be awarded the Certified Agentic AI Practitioner (CAAP) credential. You’ll graduate with not only a certificate but also a portfolio of deployed agents and workflows – ready to showcase to employers, clients, and collaborators. This certification is:
Mentor-Verified
Project-Evaluated
Industry-Aligned
Powered by the F.A.S.T. Learning Model
To deliver a truly transformative experience, CAAP is built on MAA Academy’s proprietary F.A.S.T. Learning Model – a multi-dimensional training ecosystem that goes far beyond passive video content.
CAAP learners never feel alone. Every concept is taught, built, clarified, and applied – with layered support built into every week.
Tools Covered
What Our Learners Have To Say
Pooja Rai
I recently completed a Generative AI course at MAA Academy, and it was a fantastic experience. The course structure was well-organized, making complex topics easy for beginners. The emphasis on practical training was particularly beneficial, with weekend sessions that were invaluable for non-programmers. The proactive coordinator and knowledgeable trainers contributed greatly to the course's success. Highly recommended!"
Zainul Hassan Khan
I am thrilled to share my experience with MAA Academy’s AI/ML course. The program is exceptionally well-paced, making it easy to follow and understand. The faculty are not just knowledgeable, but also truly inspiring educators who go above and beyond to ensure every student grasps the concepts. The supportive staff further enhances the learning experience, always ready to assist with any queries. The academy fosters an engaging and motivating environment that is perfect for learning. Thanks to MAA Academy, I have gained invaluable knowledge and skills in AI/ML. I highly recommend it to anyone looking to excel in this field.
Yaamini Kondreddy
MAA Academy provides a highly enriching and well-structured learning experience. The academy’s commitment to excellence is evident in its comprehensive curriculum, expert instructors, and interactive teaching methods. The courses are designed to be practical and engaging, ensuring that students gain valuable knowledge and hands-on skills. Additionally, the academy fosters a supportive learning environment, encouraging students to reach their full potential. The faculty’s expertise and dedication significantly contribute to the overall quality of education, making MAA Academy a reliable choice for professional and academic growth. We highly recommend MAA Academy to individuals seeking quality education and skill development in their respective fields.
Manish Gupta
My experience with the AI & ML program at MAA Academy has been truly transformative. Despite my non-technical background, the program’s supportive environment & explanations empowered me to grasp concepts. I’ve developed a passion for AI and its potential to revolutionize industries. This program has been instrumental in shaping my learning and I’m eager to explore how I can leverage these insights in my AI career.
Shrikant Sanas
I completed the Generative AI & Prompt Engineering course at MAA Academy, and it was excellent. The course covered LLMs, prompt optimization, and AI applications in depth. Expert instructors made complex AI concepts easy to understand. Hands-on projects helped me apply AI techniques in real-world scenarios. Learning effective prompt engineering improved my AI interaction skills. The course included fine-tuning, best practices, and ethical AI use. Real-world case studies enhanced my understanding of AI’s impact. I now feel confident in using AI for problem-solving and innovation. The course is well-structured and highly practical. I highly recommend it to anyone interested in Generative AI!
Surrbhi Soni
Maa Academy has been a transformative learning experience. The courses are well-structured, and the instructors provide deep insights with practical applications. Highly recommend it for anyone looking to enhance their skills and knowledge!
Rajdeep Sen
MAA Academy offers an inviting AI & ML program where advanced coding skills aren’t a pre-requisite. With supportive teachers and a welcoming community, they utilize real-world data to tackle problems effectively. As a BTech student, I found the program easily approachable and enriching. Highly recommended!
FAQs - Agentic AI Program
Agentic AI refers to systems that can autonomously perceive, reason, plan, and act in dynamic environments. Unlike traditional AI that responds to prompts, Agentic AI is capable of setting goals, initiating actions, and adjusting behavior based on outcomes.
Ideal for AI/ML professionals, software engineers, product managers, and entrepreneurs exploring AI-driven tools and platforms.
Familiarity with Python, basic Generative AI understanding, and curiosity to explore autonomous systems. A Week 0 bootcamp is included for onboarding.
Foundations of Agentic AI, toolkits like LangChain & AutoGen, building autonomous agents, deployment, and real-world projects.
A blend of self-paced video lessons, live sessions, applied labs, 1:1 mentorship, and a 24/7 GPT assistant.
Yes, each module includes a project. Final Portfolio Week involves showcasing real AI agents like research bots and task copilots.
Yes, upon completion you’ll receive a shareable industry-recognized certificate.
Weekly mentor check-ins, real-time applied session help, learner success manager, private community, and GPT support.
Job readiness for AI automation, intelligent agent design, and agentic product roles. Includes portfolio support and career guidance.
Approximately 6–8 hours/week including learning and project work.
LangChain, AutoGen, CrewAI, OpenAI APIs, Chroma DBs, Streamlit/Gradio, and Hugging Face/Replit for hosting.
No direct placement, but highly job-aligned with portfolio building, career support, and profile enhancement guidance.